| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| losses_impl.py | 180 label_smoothing=0.0,
204 label_smoothing: A float in [0, 1]. If greater than 0, smooth the labels for
234 weights=real_weights, label_smoothing=label_smoothing, scope=scope,
408 label_smoothing=0.25,
430 label_smoothing: The amount of smoothing for positive labels. This technique
448 generated_weights, label_smoothing)) as scope:
450 # -log((1 - label_smoothing) - sigmoid(D(x)))
453 discriminator_real_outputs, real_weights, label_smoothing, scope,
474 label_smoothing=0.0
[all...] |
| /external/tensorflow/tensorflow/contrib/losses/python/losses/ |
| loss_ops.py | 280 label_smoothing=0,
289 If `label_smoothing` is nonzero, smooth the labels towards 1/2:
291 new_multiclass_labels = multiclass_labels * (1 - label_smoothing)
292 + 0.5 * label_smoothing
299 label_smoothing: If greater than 0 then smooth the labels.
316 if label_smoothing > 0:
318 multi_class_labels * (1 - label_smoothing) + 0.5 * label_smoothing)
331 label_smoothing=0,
340 If `label_smoothing` is nonzero, smooth the labels towards 1/num_classes
[all...] |
| loss_ops_test.py | 239 label_smoothing = 0.1
241 logits, labels, label_smoothing=label_smoothing)
243 expected_value = 400.0 * label_smoothing / 3.0
603 label_smoothing = 0.1
605 logits, labels, label_smoothing=label_smoothing)
607 expected_value = (100.0 + 50.0 * label_smoothing) / 3.0
612 label_smoothing = 0.1
616 sigmoid_logits, sigmoid_labels, label_smoothing=label_smoothing
[all...] |
| /external/tensorflow/tensorflow/python/ops/losses/ |
| losses_impl.py | 656 multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None,
666 If `label_smoothing` is nonzero, smooth the labels towards 1/2:
668 new_multiclass_labels = multiclass_labels * (1 - label_smoothing)
669 + 0.5 * label_smoothing
678 label_smoothing: If greater than `0` then smooth the labels.
707 if label_smoothing > 0:
708 multi_class_labels = (multi_class_labels * (1 - label_smoothing) +
709 0.5 * label_smoothing)
720 onehot_labels, logits, weights=1.0, label_smoothing=0, scope=None,
730 If `label_smoothing` is nonzero, smooth the labels towards 1/num_classes
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| losses_test.py | 223 label_smoothing = 0.1
225 labels, logits, label_smoothing=label_smoothing)
227 expected_value = 400.0 * label_smoothing / 3.0
627 label_smoothing = 0.1
629 labels, logits, label_smoothing=label_smoothing)
632 expected_value = (100.0 + 50.0 * label_smoothing) / 3.0
638 label_smoothing = 0.1
642 sigmoid_labels, sigmoid_logits, label_smoothing=label_smoothing
[all...] |
| /external/tensorflow/tensorflow/python/keras/ |
| losses.py | 317 label_smoothing: Float in [0, 1]. If > `0` then smooth the labels.
325 label_smoothing=0,
333 label_smoothing=label_smoothing)
370 label_smoothing: Float in [0, 1]. When > 0, label values are smoothed,
372 `label_smoothing=0.2` means that we will use a value of `0.1` for label
381 label_smoothing=0,
389 label_smoothing=label_smoothing)
839 label_smoothing=0)
[all...] |
| metrics.py | [all...] |
| losses_test.py | 736 label_smoothing = 0.1
748 from_logits=True, label_smoothing=label_smoothing)
750 expected_value = (100.0 + 50.0 * label_smoothing) / 3.0
[all...] |
| metrics_test.py | [all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist.py | 168 label_smoothing=0.25)
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| hdf5_format_test.py | 356 name='cce', label_smoothing=constant_op.constant(0.2)),
361 name='cce', label_smoothing=constant_op.constant(0.2)),
[all...] |
